English

STRIPS Planning in Infinite Domains

Artificial Intelligence 2017-05-30 v2

Abstract

Many robotic planning applications involve continuous actions with highly non-linear constraints, which cannot be modeled using modern planners that construct a propositional representation. We introduce STRIPStream: an extension of the STRIPS language which can model these domains by supporting the specification of blackbox generators to handle complex constraints. The outputs of these generators interact with actions through possibly infinite streams of objects and static predicates. We provide two algorithms which both reduce STRIPStream problems to a sequence of finite-domain planning problems. The representation and algorithms are entirely domain independent. We demonstrate our framework on simple illustrative domains, and then on a high-dimensional, continuous robotic task and motion planning domain.

Keywords

Cite

@article{arxiv.1701.00287,
  title  = {STRIPS Planning in Infinite Domains},
  author = {Caelan Reed Garrett and Tomás Lozano-Pérez and Leslie Pack Kaelbling},
  journal= {arXiv preprint arXiv:1701.00287},
  year   = {2017}
}

Comments

11 pages

R2 v1 2026-06-22T17:38:53.580Z